In this paper, we propose the Multi-Learner Based Recursive Supervised Training (MLRT) algorithm which uses the existing framework of recursive task decomposition, by training the...
Laxmi R. Iyer, Kiruthika Ramanathan, Sheng Uei Gua...
In this paper, phase combinations among martensitic variants in shape memory alloys patches and bars are simulated by a hybrid optimization methodology. The mathematical model is ...
In this article, an approach to semantic image analysis is presented. Under the proposed approach, ontologiesareusedtocapturegeneral,spatial,andcontextualknowledgeofadomain,andage...
This research introduces a general class of functions serving as generalized neuron models to be used in artificial neural networks. They are cast in the common framework of comp...
In this paper, we develop new heuristic procedures for the maximum diversity problem (MDP). This NPhard problem has a significant number of practical applications such as environm...